Skip to main content
Fig. 11 | BMC Bioinformatics

Fig. 11

From: Application of convolutional neural networks towards nuclei segmentation in localization-based super-resolution fluorescence microscopy images

Fig. 11

Example of dividing large image into square tiles. A large 5120 × 5120 super resolution image is divided into many smaller image patches, or tiles. The image label, identifying fluorescent nuclei, is similarly divided. A tile overlap is used for test images, to be segmented by a trained network, in order to help recombine overlapping predictions and remove tile borders

Back to article page